Handbook of Face Recognition

Part I: Introduction and Background.- 1. Overview on Face recognition.- 2. Historical Developments and Challenges.- 3. Applications.- Part II: Fundamentals of Deep Neural Networks.- 4. Overview on Deep Learning for FR.- 5. Deep Neural Network Architecture Design.- 6. Loss Function Design.- 7. Auto-Encoders.- 8. Convolutional Neural Networks.- 9. Generative Adversarial Networks.- 10. Transfer Learning and Domain Adaptation.- 11. Deep Learning with Big/Small Data.- 12. Model Compression and Speedup.- 13. Programming Platforms for Deep Learning.- Part III: Face Recognition by Deep Neural Networks.- 14. Overview on Face Recognition Methods.- 15. Preprocessing Methods.- 16. Face Localization Detection.- 17. Face Localization Landmark.- 18. Visual Face Recognition.- 19. Multispectral Face Recognition.- 20. Fusion for Face Recognition.

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• Processamento de imagens
• Segurança de redes
• Reconhecimento de padrões
• Aprendizagem mecânica
• Segurança do computador
• Ciência forense

Face Recognition;Convolutional Neural Networks;Deep Learning;Biometric Verification;Security and Privacy;Multispectral Face Recognition;Data Fusion for Face Recognition;3D Face Recognition;Face Anti-Spoofing;Face Animation